# United Kingdom LFS: In Employment: Manufacturing: : Men: Aged 16 and over: Thousands: NSA ()

United Kingdom LFS: In Employment: Manufacturing: : Men: Aged 16 and over: Thousands: NSA () was down 0.4% year on year in Q2 2026, compared with 2.2% in Q1 2026.
The level stood at 1,909.0 thousands.
Over the past ten years it has ranged from −14.6% (Q4 2020) to 5.7% (Q3 2024), averaging −1.5%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4EH.MEASURE-LEVEL.SEX-M`
- Frequency: quarterly
- Units: thousands
- Coverage: 1997-01-01 to 2026-04-01 (118 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-in-employment-manufacturing-men-aged-16-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 1,909.0 thousands | −0.4 |
| Q1 2026 | 1,958.0 thousands | 2.2 |
| Q4 2025 | 1,948.0 thousands | 1.4 |
| Q3 2025 | 1,881.0 thousands | −3.2 |
| Q2 2025 | 1,916.0 thousands | −2.9 |
| Q1 2025 | 1,916.0 thousands | −3.8 |
| Q4 2024 | 1,921.0 thousands | −3.2 |
| Q3 2024 | 1,943.0 thousands | 5.7 |
| Q2 2024 | 1,974.0 thousands | 5.1 |
| Q1 2024 | 1,991.0 thousands | 3.4 |
| Q4 2023 | 1,984.0 thousands | 0.8 |
| Q3 2023 | 1,838.0 thousands | −5.0 |
| Q2 2023 | 1,879.0 thousands | −6.2 |
| Q1 2023 | 1,925.0 thousands | −4.0 |
| Q4 2022 | 1,969.0 thousands | −1.1 |
| Q3 2022 | 1,935.0 thousands | −2.9 |
| Q2 2022 | 2,003.0 thousands | 2.1 |
| Q1 2022 | 2,005.0 thousands | 1.9 |
| Q4 2021 | 1,991.0 thousands | 3.6 |
| Q3 2021 | 1,992.0 thousands | −0.9 |
| Q2 2021 | 1,961.0 thousands | −7.2 |
| Q1 2021 | 1,967.0 thousands | −10.9 |
| Q4 2020 | 1,922.0 thousands | −14.6 |
| Q3 2020 | 2,011.0 thousands | −9.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EH.MEASURE-LEVEL.SEX-M"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EH.MEASURE-LEVEL.SEX-M",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```